Hello, I'm Pranav Kuchibhotla
AI Engineer | LLM Systems (RAG + Agents) | Applied ML
Built and shipped LLM products used by 100+ users, specializing in RAG, agent workflows, and reliability evaluation.
Chicago, IL
About Me
Hey, I'm Pranav
I studied Artificial Intelligence at Illinois Tech (minor in Data Science), and I like building AI products that feel real, not just notebook demos. I usually work end to end, starting from the data and retrieval layer, then adding evaluation, and finally wrapping it in a UI that people actually want to use.
A lot of my work sits in the production zone: RAG pipelines, agent workflows, and reliability checks that keep outputs grounded and fast. Most recently, I was an AI Engineer Intern at Tech Mahindra, where I built a LangChain + FAISS RAG pipeline that reduced manual ticket triage by about 70%. I also built a retrieval and summarization multi-agent workflow that brought response time from roughly 45 minutes to under 10 minutes, while keeping p95 latency under 3 seconds with practical guardrails and human review when confidence was low.
Outside of that, I've shipped projects like LLM Auditor Pro (hallucination auditing and trust scoring), TechCareers (a job search and ATS toolkit used by real users), and 82 Below (geospatial and statistical analysis of Chicago lead risk patterns). I'm also a Teaching Assistant for CS courses, and I genuinely enjoy explaining hard concepts in a way that clicks.
Right now, I'm looking for roles where I can keep shipping useful systems, learn from people who've built at scale, and grow as an engineer. If you're building RAG, agents, or evaluation systems, I'd love to connect.
Want to know more about my experience?
Download my resume for a detailed overview of my skills and experience.
Skills & Expertise
My technical toolkit spans multiple domains, allowing me to approach problems from different angles and implement comprehensive solutions.
Skill Map: AI & Machine Learning
My Work
Featured Projects
Explore my portfolio of projects spanning machine learning, data science, and software development. Each project demonstrates my technical skills and problem-solving approach.
vArI DriftCast (Oceans Four)
3rd Place - Grainger Computing Innovation PrizeVolunteer distributed-compute platform for ocean plastic drift forecasts; 3rd Place at Grainger Computing Innovation Prize.
Key Features:
- Orchestrates thousands of Monte Carlo trajectories across volunteer Electron clients to generate near-real-time drift probability maps.
- Streams NOAA/Copernicus ocean, wind, and wave data into a FastAPI + PostgreSQL + Redis + Celery backend with WebSockets for task routing.
- Aggregates trajectories into uncertainty heatmaps and leaderboards; monitors resource usage with pause/throttle controls on clients.
- Layered RL experiments on physics-based simulators to reduce drift error; productionized via Docker Compose with Nginx, Prometheus, and Grafana.
Work Experience
My professional journey that has shaped my skills and expertise in AI, machine learning, and data science.
Teaching Assistant
Mentor 90+ students in Java/OOP, lead weekly labs and office hours, and grade 200+ assignments each week with rubrics and test cases to keep feedback fast.
AI Engineer Intern
Architected a LangChain + FAISS RAG pipeline that cut manual ticket triage about 70%; built a retrieval + summarization multi-agent flow that dropped response times from ~45 to under 10 minutes and kept p95 latency under 3s with guardrails and human review on low confidence.
Machine Learning Research Assistant
Supported a research team working on early-frame detection in MRI scans using U-Net architectures. Observed model training in PyTorch and learned about segmentation workflows in medical imaging.
Software Developer Intern
Built interactive Python dashboards to surface trends in music-streaming data; designed and documented an Agile workflow for long-term maintainability.
UI/UX Designer
Selected via the P33 Chicago program; designed 10+ Figma mockups for an internal budget platform and iterated with JPMC engineers in Agile sprints using user research and stakeholder feedback.
Education
My academic journey and educational background that have provided me with a strong foundation in AI and data science.
B.S. in Artificial Intelligence
Dean's List all 7 semesters; International Merit Scholarship for academic excellence.
Senior Secondary (Math, Physics, Chemistry)
Scored 963/1000 in Telangana State Board Exams. Earned a full merit scholarship from FIITJEE for academic excellence.
Secondary School Certificate (CBSE)
Scored 94.2% in CBSE 10th Board Exams. NSTSE medalist and school basketball gold medalist.
Certifications
Professional certifications and achievements that demonstrate my commitment to continuous learning and skill development.
IBM Machine Learning Specialization
IBM
Issued: July 2025
Machine Learning I
Columbia+
Issued: August 2025
Deep Learning and Reinforcement Learning
IBM
Issued: July 2025
NASA Space Apps Chicago 2025 — Galactic Problem Solver
NASA International Space Apps
Issued: October 2025
LangChain for LLM Application Development
DeepLearning.AI
Issued: June 2025
Testimonials
What colleagues and mentors have to say about working with me.
"As a teaching assistant, Pranav demonstrated excellent communication skills and a deep understanding of programming concepts. Students consistently praised his ability to explain complex topics clearly."
Get In Touch
Have a project in mind or want to discuss potential opportunities? Let's create something amazing together!